Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using artificial intelligence

Detalles Bibliográficos
Autores principales: Lv, Han, Li, Mengyi, Wang, Zhenchang, Yang, Dawei, Xu, Hui, Li, Juan, Liu, Yang, Cao, Di, Liu, Yawen, Wu, Xinru, Jin, He, Zhang, Peng, Zhao, Liqin, Bai, Rixing, Yue, Yunlong, Li, Bin, Zhang, Nengwei, Zou, Mingzhu, Song, Jinghai, Yu, Weibin, Zhang, Pin, Tang, Weijun, Yao, Qiyuan, Liu, Liheng, Yang, Hui, Yang, Zhenghan, Zhang, Zhongtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Consensus Statement
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276375/
https://www.ncbi.nlm.nih.gov/pubmed/35471478
http://dx.doi.org/10.1097/CM9.0000000000002002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276375/
https://www.ncbi.nlm.nih.gov/pubmed/35471478
http://dx.doi.org/10.1097/CM9.0000000000002002

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